docstr: Method to run recommender algorithm
  
  :param verbose: Print recommender and database information
  :type verbose: bool, default True
docstr_tok: ["Method","to","run","recommender","algorithm",":","param","verbose",":","Print","recommender","and","database","information",":","type","verbose",":","bool",",","default","True"]
code: def compute(self, verbose=True):
      """
      Method to run recommender algorithm
  
      :param verbose: Print recommender and database information
      :type verbose: bool, default True
  
      """
  
      if verbose:
          print(
              "[Case Recommender: %s]\n"
              % "PaCo: Co-Clustering Algorithm"
          )
          print("Final entropy::", self.fit())
          print(
              "K rows:: ",
              len(self.list_row),
              "and L columns:: ",
              len(self.list_col),
          )
          print(
              "Number of bi-groups:: ",
              len(self.list_row) * len(self.list_col),
          )
          print(
              "Number of bi-groups needing recommendations:: ",
              self.density[
                  np.logical_and(self.density != 1, self.density != 0)
              ].size,
          )
      else:
          self.fit()
  
file_path: CaseRecommender/caserec/clustering/paco.py
imports: import itertools
  import random
  import numpy
  from scipy.spatial.distance import squareform, pdist
  from sklearn.cluster import KMeans
  from caserec.utils.process_data import ReadFile
label_desc: Use image node_id 11 for calling the PaCo obj's underlying member method code with example usage: obj.compute(verbose) without return types